Research interests

My main research interests are in protein structure prediction and analysis, simulations of protein folding, Hidden Markov Model methods, transmembrane protein analysis, machine learning applications in bioinformatics, de novo protein design methodology, and genome analysis including the application of intelligent software agents. New areas of research include the use of high throughput computing and very large scale machine learning for bioinformatics applications, analysis and prediction of protein disorder, expression data analysis and the analysis and prediction of protein function and protein-protein interactions using deep learning techniques. Over the years
I have authored a number of widely-used bioinformatics tools such as PSIPRED, GenTHREADER, MEMSAT and DISOPRED (see group pages for a full list with download links).
I was also one of the founders of UCL "spin out" company Inpharmatica Ltd. The company, which at one point employed over 100 people in Central London, was bought by Galapagos NV in 2007. More on Inpharmatica here and here.

Publications

I'm pleased to be included in the Thomson Reuters Highly Cited Researchers
list, which identifies the world's leading scientific researchers on the basis of the number of highly cited papers
published between 2003 and 2013. This is a reflection not only of the hard work and scientific excellence of the students, postdocs and collaborators I've been fortunate to work with over this period, but also the high impact that bioinformatics research in general has had over the last 10-20 years. For more details on my lab's research output see below:

TEACHING

I coordinate the Bioinformatics module (GI10) on the MSc in Computational Statistics and Machine Learning degree programme. I also contribute lectures to the 3rd year UG Bioinformatics module (BIOC3010) in the Dept. of Structural and Molecular Biology.